The Artificial Intelligence (AI) paradox

Area of Science:

• Technology and Society
• Artificial Intelligence Ethics
• Global Digital Divide

Background:

• Artificial intelligence (AI) adoption has surged globally across various sectors, from daily use to specialized medical applications.
• Despite widespread AI utilization, significant inequalities persist, particularly widening the digital divide between the Northern and Southern hemispheres.
• The increasing study and development of AI paradoxically uncover its inherent weaknesses, limitations, and potential societal dangers.

Purpose of the Study:

• To examine the growing adoption of artificial intelligence (AI) worldwide.
• To analyze the widening global inequalities in AI infrastructure and utilization.
• To critically evaluate the limitations, reliability, and validity issues associated with AI development and deployment.

Main Methods:

• Qualitative analysis of AI adoption trends and global disparities.
• Review of critical perspectives on AI's societal impact and inherent risks.
• Examination of AI's data-driven nature and its implications for information accuracy.

Main Results:

• AI adoption is nearly universal but exacerbates the digital divide, with disparities between high-income and developing nations.
• AI-generated information risks bias or inaccuracy due to data sources potentially lacking scientific validation.
• AI demonstrates limitations in understanding complex human emotional and psychosocial skills, impacting its reliability and validity.

Conclusions:

• The widespread growth of AI highlights significant challenges regarding its reliability and validity.
• Addressing the ethical implications and inherent limitations of AI is crucial as its integration into society deepens.
• Mitigating the global inequalities in AI access and development is essential for equitable technological advancement.